Query processing engine recommendation method and system

A method for providing a recommendation of a query processing engine from multiple query processing engines, the method comprising:

• receiving a query having features, each feature associated with a respective term index, and corresponding service level agreement requirements by a query receiving unit;
• extracting the features of the query by a feature extractor and calculating a feature weight of each feature of the query with respect of the term index of each feature and a query weight from the feature weights of the query by the feature extractor;
• checking for a similar query in a knowledge base by an evaluator by finding a common term vector between the query and other queries stored in the knowledge base using the feature weights and the query weight;
• executing the query on multiple query processing engines by a scheduler and collecting execution statistics for each query processing engine when the similar query is not found in the knowledge base or fetching execution statistics for each query processing engine from the knowledge base when the similar query is found in the knowledge base, wherein the execution statistics comprise a query response time and a resource usage vector corresponding to each query processing engine;
• calculating a recommendation value for each query processing engine on which the query was executed and the execution statistics collected;
• and
• providing the recommendation of the query processing engine from multiple query processing engines by the evaluator based on the recommendation value calculated for every query processing engine.